Evidence map›Paper›PMID 41389285›Full record

ArticleThe oncologist2025

Overall survival, poverty differentials, and mediating pathways among women with breast cancer: South African Breast Cancer and HIV Outcomes cohort.

Maureen Joffe, Wenlong Carl Chen, Ashleigh Craig, Daniel S O'Neil, Alfred I Neugut, Judith S Jacobson, Paul Ruff, Rofhiwa Margaret Mathiba, Nivashini Murugan, Herbert Cubasch and 8 more

Abstract readMulticenter Study
In one paragraph

Article in The oncologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Maureen JoffeStrengthening Oncology Services Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.ORCID 0000-0001-8616-9672
Wenlong Carl ChenStrengthening Oncology Services Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.ORCID 0000-0002-3248-4906
Ashleigh CraigSAMRC/Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.ORCID 0000-0002-7641-5953
Daniel S O'NeilYale Cancer Center, Yale School of Medicine, Yale University, Connecticut, CT, 06511, United States.
Alfred I NeugutHerbert Irving Comprehensive Cancer Center, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, United States.ORCID 0000-0002-5949-4522
Judith S JacobsonDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, United States.ORCID 0000-0003-0916-6165
Paul RuffStrengthening Oncology Services Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.ORCID 0000-0003-1055-1730
Rofhiwa Margaret MathibaDivision of Medical Oncology, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.ORCID 0000-0003-2329-6513
Nivashini MuruganDepartment of Surgery, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.ORCID 0009-0009-1980-1805
Herbert CubaschDepartment of Surgery, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.ORCID 0000-0001-6110-3984
Charmaine BlanchardStrengthening Oncology Services Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.ORCID 0000-0002-9302-1454
Sarah NietzDepartment of Surgery, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.ORCID 0000-0002-6313-2794
Jennifer EdgeDepartment of Surgery, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.
Ines BuccimazzaDepartment of Specialized Surgery, Inkosi Albert Luthuli Central Hospital, Durban and Ngwelezane Hospital, University of KwaZulu-Natal, Empangeni, 3880, South Africa.ORCID 0000-0002-5399-3101
Sharon ČačalaDivision of Surgery, Stellenbosch University and Tygerberg Hospital, Cape Town, 7500, South Africa.
Valerie A McCormackEnvironment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer, Lyon, 69366, France.ORCID 0000-0001-7397-3442
Yoanna PumpalovaHerbert Irving Comprehensive Cancer Center, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, United States.ORCID 0000-0001-5520-9264
Shane A NorrisSAMRC/Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.ORCID 0000-0001-7124-3788

Funding

Novel predictors of survival among breast cancer patients with/without HIV in South AfricaR01CA250012 · NCI · WITS HEALTH CONSORTIUM (PTY), LTD · PI CUBASCH, HERBERT, EL-SADR, WAFAA M. · 2020 to 2024
$2.0M
HIV's Effects on Breast Cancer Treatment and Outcomes in South AfricaR01CA192627 · NCI · WITS HEALTH CONSORTIUM (PTY), LTD · PI JACOBSON, JUDITH S, JOFFE, MAUREEN · 2015 to 2019
$1.7M
German Federal Ministry of Research, Technology and Space 01KA2220BNCI NIH HHS R01 CA192627NCI NIH HHS R01 CA250012Witwatersrand Common Epithelial Cancer Research CenterWorld Health Organization 001
6 · The paper itself

Abstract

backgroundBreast cancer survival rates in sub-Saharan Africa are low. In a prospective, multi-center cohort study, we estimated 5-year overall survival rates, overall survival determinants, and mediating effects between socioeconomic status on overall survival among South African women diagnosed with invasive BC. PATIENTS AND

methodsPatients from 4 public hospitals were enrolled between July 1, 2015 and January 31, 2019. Survival determinants were assessed using Cox proportional hazard models adjusted for age, background mortality, and treatments. Socioeconomic pathway effects on overall survival were determined through generalized structural equation models.

resultsOf 2838 participants, 58% had advanced-stage (III/IV) disease. Five-year crude overall survival was 44.3% (95% CI 42.5-46.2). Significant mortality risks were late stage at diagnosis (hazard ratio [HR] = 2.31 [95% CI 1.99-2.69] [stage III]; 4.79 [95% CI 3.96-5.80] [stage IV]), HIV-positive status (HR = 1.45 [95% CI 1.25-1.67]), unemployment HR = 1.25 [95% CI 1.09-1.44], and low education HR 1.19 [95% CI 1.04-1.37]). Age and treatment-adjusted socioeconomic status effects on overall survival were mediated through HIV status (81.7% of the effect) and stage at diagnosis (81.7%), both P < .001. Poor breast cancer knowledge had an indirect effect on overall survival, accounting for 77.6% of the total effect (P = .001), fully mediated by late-stage presentation. Socioeconomic status had no significant direct path to mortality after accounting for these mediators.

conclusionInterventions should prioritize early breast cancer detection. For patients with low socioeconomic status, particularly those with comorbid HIV, we must mitigate multifaceted barriers to healthcare access, including limited awareness and knowledge of breast cancer.

Indexed as

Breast NeoplasmsHIV InfectionsPovertyAdultAgedCohort StudiesFemaleHumansMiddle AgedProspective StudiesSouth AfricaSurvival Ratebreast cancerdeterminants and socioeconomic mediatorsoverall survivalSouth Africa

Identifiers

PMID41389285
PMCPMC12778425

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.